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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 12 hours ago
or physics-informed machine learning, develop robust surrogate forward models to predict the coupled physical process of GCS, such that we can efficiently forecast the spatial-temporal patterns of the
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characterize subsurface structures, buried infrastructure, and material properties; · develop and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction
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postdoctoral position focuses on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information to support data-driven journalism. This
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experience, along with significant experience in machine learning, computer programming, computational biological applications. A strong background in statistics and biology. Experience managing and curating
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University of Oklahoma Health Science Center | Oklahoma City, Oklahoma | United States | 26 days ago
parallel recordings (Gong et al. Science, 2015; Beck et al. Scientific Reports 2019); (2) The lab creates fast and accurate algorithms for processing large imaging datasets (Bao et al. Nature Machine
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, clinicians… You have experience in medical image analysis and processing, computational modelling, AI/machine learning, and scientific software development You have experience in technology transfer
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models, multimodal AI systems, or related machine-learning technologies Strong programming expertise in Python and experience with frameworks such as PyTorch, Hugging Face Transformers, or equivalent
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civic participation. The research in this postdoctoral position focuses on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information
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, Applied Mathematics, or a related field. Strong expertise in: Computer vision and image processing Deep learning (e.g., PyTorch, TensorFlow) Data-driven modeling and analysis Proficiency in Python and
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learning techniques in multiple modalities of medical imaging (e.g. fundoscopy images, OCT scans, MRI, CT, X-ray and digital pathology). We bridge the gap between machine learning research and clinical